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Table of contents

A Generic Method for Evaluating Appearance Models and Assessing the Accuracy of NRR



Existing Methods of Assessment

Model-Based Assessment

Model-based Framework

Building an Appearance Model

Training and Synthetic Images

Slide 9

Slide 10

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Slide 12

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Slide 20

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Slide 22

Slide 23

Slide 24

Slide 25

Model Quality

Measuring Inter-Image Distance

Shuffle Distance

Varying Shuffle Radius

Validation Experiments

Experimental Design

Brain Data

Perturbation Framework

Examples of Perturbed Images

Results – Generalised Overlap

Results – Model-Based

Results – Comparison

Results – Sensitivities

Further Tests – Noise

Practical Application

Slide 41

Practical Application - Results

Extension to 3-D


Author: Roy Schestowitz

E-mail: r at schestowitz dot com


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